Loading the edition…
· Past edition · 12 stories
Retrospective edition reconstructed from later captures. Paper versions may include later updates; coverage labels describe the evidence used.
Safety, alignment & governance
WebMirage tests whether visual attacks can steer a web agent all the way from selecting attacker-controlled content to carrying out the corresponding browser action.
Why it matters: Evaluating only whether an image fools a model can miss whether the agent actually performs the attacker-directed browser action. The reported end-to-end framing brings that gap into view.
Safety, alignment & governance
Open each story in the reader. Summaries are shown when available; some sources provide an abstract only. With an account you can keep your own notes.
The paper describes how malicious prompts hidden in shared coding-agent rule files can steer agents toward replacing legitimate dependencies with attacker-controlled packages.
Why it matters: Because shared rule files guide autonomous code generation, they can influence dependency selection. Treating them as security-relevant inputs follows directly from the attack path described here.
Safety, alignment & governance
The HN headline raises a serious risk: researchers backdooring an open AI model to steal credentials in coding agents. The linked research was not fetched, so the capture does not show how the claim was tested.
Why it matters: For a PR-review agent, verdverm’s example suggests a practical check: if the task does not need credentials, internet access, or bash, leave them out of the workflow. The claim about model resistance remains that commenter’s opinion in this capture.